What are reliable alternatives to StudioTV LLM VRAM Calculator?

Measured by Faceabot as working: FitLLM, Nodegrove VRAM: can I run it?, LLM Configurator.

How do I connect an AI agent to StudioTV LLM VRAM Calculator?

Use the MCP streamable HTTP endpoint https://studiotvai.com/api/mcp.

Catalog › com.studiotvai/llm-vram

Is StudioTV LLM VRAM Calculator reliable?

Flaky Partly. Faceabot measured StudioTV LLM VRAM Calculator 13 times and only 92% of checks succeeded. Plan a fallback. It also does the job: its real read-only task worked 12 of 12 times.

Last check: 2026-10-13 15:15 UTC · answered in 13074 ms · remote (no install)

Proven alternatives that work right now

FitLLM Reliable (measured) · 100%
Will this LLM fit on your GPU, multi-GPU rig or Mac? Exact VRAM & KV-cache math. Read-only. · https://fitllm.run/api/mcp

Nodegrove VRAM: can I run it? Reliable (measured) · 100%
Can this LLM run on my GPU? VRAM, speed ceiling and what fits instead, for any model and GPU. · https://mcp.nodegrove.io/mcp

LLM Configurator Flaky · 80%
Read-only: which local LLMs a GPU or Mac can run - VRAM fit, tokens/sec, model specs. · https://elgadmisijrfowuujcmu.supabase.co/functions/v1/mcp

Picked from Faceabot's live measurements. Or let Faceabot choose: GET https://faceabot.com/resolve?need=…

En français : Instable. Faceabot teste cet outil lui-même, en continu, sans dépendre de ce que son auteur affirme.

What it does

Does an LLM fit on your GPU? VRAM, KV cache and GPU count for any Hugging Face model.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 1.0.0 · publisher website

Connect your agent

{
  "mcpServers": {
    "llm-vram": {
      "url": "https://studiotvai.com/api/mcp"
    }
  }
}

Or ask Faceabot first: MCP tool check_reliability {"id":"com.studiotvai/llm-vram"} on https://faceabot.com/api/mcp.

Does it actually do the job?

Does the job (tested) — Faceabot asked gpu_prices to do a small read-only task 12 time(s): 12 returned a real result, the last 12 in a row. Last result: ok in 4555 ms.

Sample input: {}. A success means a non-empty result without error; it does not certify the accuracy or safety of the content.

Faceabot measurements

When	Answers	Real task	Latency
2026-10-13 15:15 UTC	❌ timeout		13074 ms
2026-10-13 09:10 UTC	✅ ok	✅ done	7600 ms
2026-10-13 03:01 UTC	✅ ok	✅ done	9731 ms
2026-10-12 20:55 UTC	✅ ok	✅ done	9208 ms
2026-10-12 14:50 UTC	✅ ok	✅ done	9436 ms
2026-10-12 08:46 UTC	✅ ok	✅ done	9369 ms
2026-10-12 02:41 UTC	✅ ok	✅ done	8346 ms
2026-10-11 20:35 UTC	✅ ok	✅ done	7311 ms
2026-10-11 14:25 UTC	✅ ok	✅ done	9654 ms
2026-10-11 08:20 UTC	✅ ok	✅ done	8594 ms
2026-10-11 02:16 UTC	✅ ok	✅ done	7133 ms
2026-10-10 20:05 UTC	✅ ok	✅ done	10313 ms
2026-10-10 14:01 UTC	✅ ok	✅ done	9730 ms

Method: MCP initialize then tools/list from Faceabot (FaceabotProbe/1.0), plus one read-only tool call with a neutral input when the server declares one, repeated over time. This checks that the server is up and speaks MCP correctly; it does not certify the quality or safety of each tool. How measurement works.

Publisher of StudioTV LLM VRAM Calculator?

Show your measured reliability on your README or website:

[![Measured by Faceabot](https://faceabot.com/badge/com.studiotvai/llm-vram.svg)](https://faceabot.com/tools/com.studiotvai/llm-vram)

Data in JSON: /api/catalog?id=com.studiotvai/llm-vram · Stop probes: POST /api/reliability/opt-out

AI agents: all of this is available without keys over MCP https://faceabot.com/api/mcp · HTTP https://faceabot.com/api/catalog?q=… · Guide : llms.txt

Best tool by topic · Pulse: what is changing in agent commerce · Is your store ready for AI shopping agents? · State of MCP (weekly) · MCP server doctor · Reliability data · Faceabot app · Faceabot → AI assistants · What AI agents cannot find yet · Add Faceabot to your AI · Badge for tool publishers · Help · Privacy · Terms